FreeCompute_24_00009 - itnett/FTD02H-N GitHub Wiki
Outline for Year 4: Master Automation, Advanced Cloud Architectures, and Certifications
Focus: In Year 4, the primary focus will be on mastering advanced cloud architectures, finalizing automation processes, and preparing for cloud certifications (AWS, GCP, Azure). The goal is to design cloud-native architectures that are highly scalable, secure, and cost-effective while leveraging all the knowledge gained over the previous years. Additionally, you will refine multi-cloud orchestration and start working on cloud certifications to validate your skills.
🛠️ Core Objectives for Year 4:
Master Advanced Cloud Architectures: Design and implement architectures that scale globally, incorporate security best practices, and use advanced services like load balancing, high availability (HA), and disaster recovery (DR).
Refine Automation: Fully automate infrastructure management, deployments, and scaling using Terraform, Kubernetes, and cloud-native tools.
Prepare for Cloud Certifications: Focus on earning certifications to validate your skills and prepare for industry opportunities.
Advanced Monitoring and Security: Ensure that all systems are being properly monitored, secure, and optimized for performance and cost.
Key Milestones for Year 4:
Milestone 1: Build Advanced Cloud Architectures (HA, DR, and Security)
Objective: Design and implement cloud architectures that can automatically scale, recover from failures, and meet stringent security requirements.
Tools:
AWS Route 53, Azure Traffic Manager, Google Cloud Load Balancer (for global load balancing)
AWS CloudFront, Azure CDN, Google Cloud CDN (for content delivery)
CloudFirewalls (AWS Security Groups, Azure NSG, GCP Firewall Rules)
VPC Peering, VPNs, Private Link (for secure networking)
Action Plan:
Implement High Availability (HA):
Design applications that run across multiple availability zones (AZs) and regions.
Use AWS Auto Scaling, Google Cloud Managed Instance Groups, and Azure Virtual Machine Scale Sets to automatically scale compute resources.
Set Up Disaster Recovery (DR):
Implement cross-region replication of data and backups using AWS S3, Google Cloud Storage, and Azure Blob Storage.
Use Terraform to automate failover processes.
Global Load Balancing:
Set up global load balancers using AWS Route 53, Azure Traffic Manager, or Google Cloud Load Balancer to distribute traffic between multiple regions and clouds.
Implement Security Best Practices:
Set up VPC peering and secure communication channels using VPNs and Private Link between services.
Use IAM roles to enforce the principle of least privilege across all cloud providers.
Outcome: Your infrastructure is globally scalable, secure, and highly available, with built-in disaster recovery strategies across cloud providers.
Milestone 2: Refine Full Automation Using Terraform and Kubernetes
Objective: Achieve complete automation in infrastructure management using Terraform and Kubernetes to manage scalable, containerized applications.
Tools:
Terraform (for infrastructure as code)
Kubernetes (for container orchestration)
Helm (for Kubernetes application deployment)
Terraform Cloud or Atlantis (for managing Terraform workflows in a team)
Action Plan:
Refine Terraform Modules:
Optimize and modularize existing Terraform code to make it reusable and maintainable across cloud providers.
Implement Terraform Cloud or Atlantis for automated Terraform workflows.
Manage Kubernetes Clusters:
Use Kubernetes to manage containerized applications across AWS, Azure, and GCP.
Deploy and manage complex, multi-tiered applications using Helm.
Set up Kubernetes Operators for advanced use cases like monitoring and automatic scaling.
Monitor and Log Automation:
Use Prometheus and Grafana for real-time monitoring and alerting of Kubernetes clusters.
Automate log collection and analysis using ELK Stack (Elasticsearch, Logstash, Kibana) or Google Cloud Logging.
Outcome: All infrastructure and application deployments are fully automated using Terraform and Kubernetes, with advanced monitoring and logging in place.
Milestone 3: Advanced Monitoring, Logging, and Security
Objective: Ensure advanced monitoring, centralized logging, and security across multi-cloud environments.
Tools:
Datadog, Prometheus, Grafana (for monitoring and alerting)
Sentry, AWS CloudWatch, Google Cloud Logging, Azure Monitor (for error logging)
AWS Shield, Azure DDoS Protection, Google Cloud Armor (for security)
Action Plan:
Setup Advanced Monitoring:
Use Prometheus and Grafana to monitor Kubernetes clusters, and Datadog for monitoring the health of multi-cloud infrastructure.
Centralize Logging:
Implement centralized logging solutions like the ELK Stack or Google Cloud Logging for all cloud environments.
Set Up Security Alerts and Firewalls:
Use AWS Shield, Azure DDoS Protection, and Google Cloud Armor to prevent DDoS attacks.
Configure firewalls and security groups to control inbound and outbound traffic across multiple cloud environments.
Use IAM and Role-Based Access Control (RBAC):
Enforce IAM roles and RBAC policies to ensure only authorized users can access sensitive cloud resources.
Use AWS IAM, Azure Active Directory, and Google Cloud IAM to define and manage roles and policies across all cloud environments.
Outcome: Your systems are highly monitored, secure, and protected against potential vulnerabilities, ensuring reliability and resilience across multiple cloud environments.
Milestone 4: Prepare and Obtain Cloud Certifications
Objective: Validate your cloud expertise by obtaining certifications from major cloud providers (AWS, GCP, Azure).
Certifications to Focus On:
AWS Certified Solutions Architect – Associate
Google Cloud Professional Architect
Microsoft Azure Solutions Architect Expert
Action Plan:
Prepare for AWS Certification:
Use AWS Training and resources like A Cloud Guru to prepare for the AWS Certified Solutions Architect exam.
Focus on topics like networking, IAM, EC2, S3, and cloud architecture design.
Prepare for Google Cloud Certification:
Study using Google Cloud Training materials and hands-on labs.
Focus on Compute Engine, Cloud Functions, BigQuery, and Cloud IAM.
Prepare for Azure Certification:
Utilize Microsoft Learn and Azure documentation to prepare for the Azure Solutions Architect exam.
Focus on Azure VMs, Networking, Storage, and Security.
Outcome: You will be certified in AWS, GCP, and Azure, validating your ability to design and manage advanced cloud solutions across multiple platforms.
Tagging, Naming, and IP Address Plan for Year 4
Tagging Strategy for Advanced Cloud Architectures and Automation
- Provider: AWS, Azure, GCP
- Type: AdvancedArch, Kubernetes, Security, Monitoring
- Environment: Dev, Test, Prod
- Project: GlobalApp, AIApp, MultiCloudDR
- Phase/Year: Year4
- Owner: YourName
Naming Conventions for Advanced Resources:
[Provider]-[ServiceType]-[Environment]-[Project]-[Region]-[Phase]
Example Names for Advanced Cloud Architectures:
AWS-AutoScale-PROD-GlobalApp-USWEST2-YEAR4 GCP-DR-PROD-MultiCloudApp-USEAST1-YEAR4 AZURE-HA-DEV-AIApp-WESTEUROPE-YEAR4
Example Names for Security Resources:
AWS-Security-PROD-Firewall-USWEST2-YEAR4 GCP-Security-DEV-DDoSProtection-